roman_datamodels compatibility, move romandeps test to CI workflows

.github/workflows/ci_cron_weekly.yml

@@ -54,23 +54,3 @@ jobs:
         python -m pip install tox
     - name: Test with tox
       run: tox -e py311-test-devdeps-romandeps
-
-  ci_cron_tests_stable_roman:
-    name: Python 3.10 with stable versions of dependencies and Roman
-    runs-on: ubuntu-latest
-    if: (github.repository == 'spacetelescope/jdaviz' && (github.event_name == 'schedule' || github.event_name == 'workflow_dispatch' || contains(github.event.pull_request.labels.*.name, 'Extra CI')))
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2
-      with:
-        fetch-depth: 0
-    - name: Set up python
-      uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b  # v5.3.0
-      with:
-        python-version: '3.10'
-    - name: Install base dependencies
-      run: |
-        python -m pip install --upgrade pip
-        python -m pip install tox
-    - name: Test with tox
-      run: tox -e py310-test-romandeps

.github/workflows/ci_workflows.yml

@@ -72,6 +72,13 @@ jobs:
             toxposargs: --remote-data --run-slow
             allow_failure: true
 
+          - name: Python 3.11 with stable versions of dependencies and Roman
+            os: ubuntu-latest
+            python: '3.11'
+            toxenv: py311-test-romandeps
+            toxposargs: --remote-data
+            allow_failure: true
+
     steps:
     - name: Checkout code
       uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4.2.2

jdaviz/configs/rampviz/plugins/parsers.py

@@ -196,6 +196,12 @@
     data_reshaped = move_group_axis_last(data)
     diff_data_reshaped = move_group_axis_last(diff_data)
 
+    # if the ramp cube has no units, assume DN:
+    if getattr(data_reshaped, 'unit', None) is None:
+        assumed_unit = u.DN
+        data_reshaped <<= assumed_unit
+        diff_data_reshaped <<= assumed_unit
+
     # load these cubes into the cache:
     app._jdaviz_helper.cube_cache[ramp_cube_data_label] = NDDataArray(
         data_reshaped

jdaviz/configs/rampviz/plugins/ramp_extraction/ramp_extraction.py

@@ -342,7 +342,9 @@ def _extract_from_aperture(self, **kwargs):
             # after the fancy indexing above, axis=1 corresponds to groups, and
             # operations over axis=0 corresponds to individual pixels:
             axis=0
-        ) << nddata.unit
+        )
+        if nddata.unit is not None:
+            collapsed <<= nddata.unit
 
         def expand(x):
             # put the resulting 1D profile (counts vs. groups) into the

jdaviz/conftest.py

@@ -64,9 +64,7 @@ def roman_level_1_ramp():
     shape = (10, 25, 25)
     data_model = mk_datamodel(RampModel, shape=shape, dq=False)
 
-    data_model.data = u.Quantity(
-        100 + 3 * np.cumsum(rng.uniform(size=shape), axis=0), u.DN
-    )
+    data_model.data = 100 + 3 * np.cumsum(rng.uniform(size=shape), axis=0)
     return data_model
 
 

pyproject.toml

@@ -80,7 +80,7 @@ docs = [
     "sphinx_design"
 ]
 roman = [
-    "roman_datamodels>=0.17.1",
+    "roman_datamodels>=0.22.0",
 ]
 
 [build-system]